Bright Vision Technologies · 1 month ago
AI Performance Optimization Engineer
United States
Full-time
Remote
Senior Level
6+ years expBright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologySoftware
No H1B
Responsibilities
Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost
Identify and eliminate bottlenecks across data loading, model compute, communication, and memory
Implement and tune quantization, sparsity, and pruning strategies to reduce model footprint and accelerate inference
Optimize distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding
Tune attention implementations using Flash Attention, paged attention, and related techniques
Implement KV cache optimization, continuous batching, and speculative decoding for LLM serving
Drive compiler-level optimizations using Triton, XLA, Torch Inductor, or TVM, working with the broader ML framework community to land improvements that translate into measurable end-to-end performance gains
Optimize data pipelines, sharding strategies, and storage access patterns for high-throughput training
Build and maintain rigorous benchmark suites and regression frameworks across workloads
Collaborate with ML and platform engineering teams to embed best practices in standard pipelines
Drive cost-efficiency improvements through model architecture, hardware selection, and scheduling strategies
Evaluate new hardware and software offerings and advise on adoption
Document performance tuning playbooks and share findings broadly across engineering teams
Stay current with AI systems to research and translate advances into production improvements
Qualification
Required
Bachelor's or master's degree in computer science, Computer Engineering, or related field
Six or more years of experience in performance engineering, ML systems, or HPC
Strong proficiency in Python and C++
Hands-on experience optimizing deep learning workloads on modern GPUs
Deep understanding of distributed training and inference techniques
Experience with profiling tools across CPU, GPU, and distributed systems
Familiarity with model compression techniques and their accuracy implications
Strong grasp of memory hierarchies, communication primitives, and parallelism strategies
Excellent measurement, debugging, and analytical reasoning skills
Strong communication and collaboration skills
Preferred
Experience optimizing LLM inference at production scale
Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects
Familiarity with custom kernel authoring in Triton or CUTLASS
Experience with FinOps for AI workloads
Publications or talks on AI systems performance
Benefits
Competitive base salary commensurate with experience, plus benefits.
100% remote
Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
H1B transfers welcomed for qualified candidates.
Company
Bright Vision Technologies
Bright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase